This paper investigates the impact of interpolation methods applied to multispectral images in pansharpening techniques aimed at enhancing spatial resolution. Specifically, interpolation methods such as nearest neighbor, bilinear, bicubic, and Lanczos were employed within the IHS, Brovey, PCA, Gram-Schmidt, and BDSD pansharpening approaches. These methods were compared in terms of their ability to preserve spatial details and reduce spectral distortions. Experimental evaluations were conducted using image quality assessment metrics including ERGAS, SAM, SS1M, and QAVE. The results indicate that bicubic and Lanczos interpolation methods provided the best performance in improving image quality.

This study comprehensively analyzes palmprint databases as a fundamental resource for biometric identification systems. It provides a detailed exploration of the database creation process, their technical specifications, and application areas. Existing databases such as CASIA Palmprint, NEC Palm Database, and PolyU, Multispectral have also been examined.During the research, issues related to quality, privacy concerns, standardization challenges, and technical limitations were identified, with recommendations proposed to address them.